Casestudie Breakdown prediction Contell PILOT - Transumo

Important for the determination of the trend is only the gradient of the determined
function. The residual component of the regression function is evoked by Matlab’s
internal representation of the date and can be ignored. This gradient has to be
multiplied by the number of days. As the selected monitoring data contains a time
span of 366 days, a trend of 0.0019307⋅
366 ≈ 0. 7 °C is recognized on the long-run. A
closer look at Figure 6-8 confirms this trend.
Figure 6-12: Regression Function for the Selected Dataset
6.2.3 Classification of Alarms by the Use of Historical Data
Section 5.10.3 introduced the promising idea to classify alarms in case of a
temperature exceeding by the use of historical data. The first introduced step was the
determination, whether an alarm can be traced back to a door opening. Therefore, an
offset time has to be defined, how long the last door opening may be dated back.
Table 6-4 pictures different chosen offset times and the corresponding classification
of alarms. 139 alarms occurred up to one minute, after a door was opened. A defined
offset time of three minutes would lead to only two alarms that would immediately be
classified as red ones and an offset time of ten minutes would lead to the result that
all alarms were user made.
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